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Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow

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lrp.py		lrp.py
lrp.pyc		lrp.pyc

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Tensorflow_Deep_Taylor_LRP

Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow.

You can use LRP to visualize the relative feature importances of the input to a neural network.

How to Use

Step 1: Construct your tensorflow graph

Step 2: Make sure your prediction layer (output layer) is named "absolute_output"

Step 3: Make sure your input layer (shaped as [num_batches, height, width, num_channels]) is named "absolute_input"

Step 4: `relevance_heatmap = lrp.lrp(prediction*label, lowest_value, highest_value)`

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Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow

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